#ai-agents

Run AI coding agents (Claude, Codex, Gemini …) unattended — auto-answer prompts, auto-retry on rate limits, and list/tail/steer every agent locally or from agent-yes.com

A dev agent multiplexer for git worktrees and coding agents.

Build AI agents and workflows with zero infrastructure

A Go framework for the microagents architecture with dynamic discovery — specialized agents and tools that register their capabilities with a shared registry, find each other by logical name at runtime, and coordinate without a central conductor.

Método de agência orientado por IA, em PT-BR. Um maestro lê seu pedido e chama o agente certo. Fork independente do BMad Method.

Lightweight file-based CLI API client with age-encrypted secrets and first-class GraphQL support built for humans and AI agents

Like Lighthouse for your agent harness - verify your CLAUDE.md/AGENTS.md, skills & hooks are real, then test and measure they actually work. Claude Code + Codex.

Fast, local-first web content extraction for LLMs. Scrape, crawl, extract structured data — all from Rust. CLI, REST API, and MCP server.

Open, self-hostable agentic runtime for organizations — durable, replayable agent sessions, human approvals, governed credentials and memory, running in managed sandboxes or on your own hardware. Apache-2.0.

MCP workflow enforcement server -- guides Claude and other AI agents through structured, step-by-step tasks without skipping steps or cutting corners

Full AI context and content layer for coding agents over one MCP server — tree-sitter code-map, document RAG, shared memory, multi-agent comms, web crawl, git history + blame. 300+ languages, 10+ agent harnesses, pure Rust.

A Semantic Kernel connector that bridges your local Claude Code OAuth session into Microsoft Semantic Kernel — no manual API key management needed.

A Go toolkit for building AI agents and applications across multiple providers. Unified LLM client, agent framework with handoffs, tool calling, streaming, structured output, MCP integration, and cost tracking.

A modern solution for running untrusted code in Node.js

An orchestration DSL and embedded runtime for hosting agentic systems. Durable, inspectable workflows with deterministic step ordering, running in-process under a capability jail — the model lives in your host, not in the runtime. 30+ companion packages for memory, transport and governance.

Local runtime harness substrate for project-scoped agent sessions.

Easy Code (formerly DeepV Code) — A highly customizable AI coding assistant compatible with all major AI models. The perfect alternative to Claude Code and Codex, offering deep code analysis, intelligent suggestions, version rollback, multi-device sync, and automated testing across multiple languages and platforms.

TypeScript SDK for astrology, Vedic kundli, BaZi four pillars, feng shui, tarot, numerology, horoscope, I Ching, biorhythm and more. One multi domain API key, fully typed. AI agent and MCP ready.

An opinionated, safe & fast coding agent

A memory of the codebase your AI agent can't get from grep: a persistent call graph, semantic search, and per-symbol review learnings over any repo. Self-hosted MCP server — Go, tree-sitter, Apache AGE.

23 Claude Code plugins: TDD enforcement hooks, git/PR workflows, spec-driven development, code review, project lifecycle, fix-from-error, maintenance automation, context optimization, research, and multi-LLM delegation. 186 skills, 128 commands, 54 agents.

Zero-trust governance layer for Claude Code. Policy-enforced MCP gateway with autonomy controls, middleware chain, audit log, HALT kill-switch, and prompt-injection defense.

Open-source security-first runtime for AI agents that learn and act across sessions.

Unbounded context. Memory that manages itself. One session, for life. The hippocampus for coding agents, part of CortexKit.

Battle-tested Claude Code, OpenAI Codex, Cursor configs, plugins, hooks and agents with Kimi, MiniMax and GLM API support.

Content backend with typed lifecycle enforcement, MCP-native API, and zero runtime dependencies. Self-hosted. Open source.

Trust-aware Nostr MCP server for AI agents and humans. Verification, proximity, and access woven into every interaction.

Self-hostable AI agents you can actually leave running — durable crash-resume, governed autonomy, seccomp sandbox, offline-replayable workflows, CI-native eval. Async-Python, YAML-config, multi-provider (OpenAI/Anthropic/Cloudflare), MIT.

A compiler and runtime for multi-agent DAGs across Pi, Codex, Claude Code, OpenCode, and Grok Build — verify before model spend, isolate context, resume, replay, and recompute.

A local workbench for agents doing continuous work across sessions, commands, human input, and external events.